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taufiqsyed/
salami_truncsplit_finetune_model

Name: salami_truncsplit_finetune_model
Availability: InStock

taufiqsyed/salami_cleaned_sampled

generated_from_trainer

facebook/musicgen-small

adapter

cc-by-nc-4.0

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salami_truncsplit_finetune_model

This model is a fine-tuned version of facebook/musicgen-small on the TAUFIQSYED/SALAMI_CLEANED_SAMPLED - DEFAULT dataset. It achieves the following results on the evaluation set:

Loss: 3.7369
Clap: 0.2173

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 456
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 1.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Clap
9.345	0.2407	25	3.6808	0.2178
8.5598	0.4813	50	3.6995	0.2060
8.3691	0.7220	75	3.7276	0.2188
8.1954	0.9627	100	3.7369	0.2073

Framework versions

PEFT 0.13.2
Transformers 4.47.0.dev0
Pytorch 2.1.2+cu121
Datasets 3.1.0
Tokenizers 0.20.3

taufiqsyed/salami_truncsplit_finetune_model

salami_truncsplit_finetune_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

taufiqsyed/
salami_truncsplit_finetune_model